About Me

I am Dr Prince Kwarteng Amaning a medical practitioner and a data-science/data-analytics enthusiast. I am a motivated and adaptable entry-level data analyst with a unique background in dentistry and public health. I am also eager to apply strong analytical skills and knowledge in healthcare systems improvement. I am proficient in tools like Tableau, Power BI, R, SQL, and Python, seeking an opportunity to contribute to data-driven insights and solutions.

Education

  • Brain station Data Analytics Certification | December 2023
  • Master of Science in Global Public Health and Policy, Queen Mary University of London, London, UK | 2021-2022
  • Bachelor of Science in Dental Surgery (BDS), Kwame Nkrumah University of Science & Technology, Kumasi, GH | 2015-2018
  • Bachelor of Science in Human Biology, Kwame Nkrumah University of Science & Technology, Kumasi, GH | 2012-2015

Work Experience

Acacium Group, London-UK (Jan 2023 - Present)

Bank Partners (Bookings Coordinator)

  • Coordinated with matrons to ensure effective healthcare delivery using Power BI and health economics knowledge.
  • Managed calls and emails from trusts, ensuring excellent patient care.

 

The Green Dental Clinic, London-UK (Jan 2023 - April 2023)

Trainee Dental Nurse

  • Assisted dental care professionals to ensure a trusted and efficient dental service.
  • Managed and coordinated the dentist diary, welcomed patients, and facilitated administrative functions.

 

Filey Care Limited, London-UK (Dec 2021 - Jan 2023)

Support Worker

  • Provided support for autistic clients, leveraging research experience on autism.
  • Supported clients with personal care and meals preparation.

 

Seeds Project, London-UK

Volunteering

  • Initiated compassionate conversations about drug policy & harm reduction.
  • Engaged in empowering discussions on substances.

 

The Lawson Practice, London-UK (April 2021 - September 2021)

Volunteering

  • Executed administrative tasks, ensuring clients/patients are well-informed.

PROJECTS

NHS road accidents, December,2023 using Advanced Excel.

  • Discovered that London was the city with the most accident causalities during the year using tableau.
  • Demonstrated there are more accidents in the urban regions than rural regions using bar plots and line graph.
  • Recommended that ambulance response time from 40 minutes to 20minutes during the winter surge can be reduced through positioning ambulance at vantage points to help reduce causalities help saving the UK.

 

Bank Loan Project, November,2023 using Sql and Excel.

  • Discovered a 90% correlation between a well-educated client base and effective product training.
  • Established that customized business Loan applications educate over 10K customers much better than traditional methods.
  • Organized spreadsheet information into detailed forms, enabling companies to reallocate 80% of their resources more effectively.

 

Covid 19 September 2023, using Python and Tableau

 

  • Discovered the countries with the most mortalities and most vaccination rate.

 

  • Showed the topmost states with covid cases in India and the states of India with the least covid cases.
  • Established a positive correlation between least vaccinated age groups and states and the most infected age groups and states in India.

 

 

SPOTIFY Report October,2023 Data Exploratory analysis using Python.

 

  • Indicated the correlation between the variables using Pearson method.

 

  • Clarified the positive correlation between loudness and energy using regplot.

 

  • Established the topmost listened genre using the barplot.

World Happiness Data analysis December,2023 using Python and Programming R.

  • Discovered the correlation between the variables of the world happiness.

 

  • Found 0.62 correlation between social support and healthy life expectancy.

 

  • Using scatterplot, discovered the positive correlation between GDP and Happiness.

 

  • Used a barplot, to show top 10 countries with corruption and Happiness.

Skills and Achievements

  • Python, SQL, Data Analysis, Excel
  • Developed a reporting tool with 94% efficiency.
  • Negotiated contracts, contributing to saving £10 million per day.

Skills Summary

  • Technical Skills: Tableau, Power BI, R, SQL, Python, Microsoft Excel, Microsoft Office, matplotlib, seaborn, pandas, NumPy.
  • Analytical Skills: Data-driven research, Problem-solving, Ability to interrelate health and non-health-related factors.
  • Data Skills: Cleaning data, organizing data, Report writing, Data management.
  • Soft Skills: Exceptional customer service, Active listening, Excellent communication, Proactivity, Multitasking, Tolerance, Critical observation.
  • Public Health Skills: Health economics, Epidemiology, Understanding of health systems and human rights.
  • Language: English and Twi (Written and oral).

 

 

 

 

dr-prince-kwarteng-amaning